What are the hardware requirements for EvolCodeLlama 7B GGUF?

EvolCodeLlama 7B GGUF requires approximately 4.8 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EvolCodeLlama 7B GGUF and how large is it?

EvolCodeLlama 7B GGUF is developed by Jennny, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate EvolCodeLlama 7B GGUF?

EvolCodeLlama 7B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EvolCodeLlama 7B GGUF by Jennny — VRAM 4.8GB, 16K context

Name: EvolCodeLlama 7B GGUF
Author: Jennny

EvolCodeLlama 7B GGUF is an open-source language model by Jennny. Features: 7b LLM, VRAM: 4.8GB, Context: 16K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.11.

Autotrain compatible Codegen Endpoints compatible Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/Jennny/EvolCodeLlama-7b-GGUF

EvolCodeLlama 7B GGUF Parameters and Internals

LLM Name	EvolCodeLlama 7B GGUF
Repository 🤗	https://huggingface.co/Jennny/EvolCodeLlama-7b-GGUF
Model Size	7b
Required VRAM	4.8 GB
Updated	2025-09-23
Maintainer	Jennny
Model Type	llama
Model Files	4.8 GB
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.33.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32016
Torch Data Type	float16

Rank the EvolCodeLlama 7B GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than Jennny/EvolCodeLlama-7b-GGUF.